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Associate Machine Learning Government Jobs in Georgia

True innovation happens where machine learning meets cloud technology and real-world impact. As an ... Must be US Citizen and with the ability to obtain a US Government security clearance (Public Trust ...

Lead Machine Learning Engineer - REMOTE

Atlanta, GA · On-site +1

$98K - $129K/yr

... Associates throughout their career. Lennar has been recognized as a Fortune 500 ® company and ... Join a Company that Empowers you to Build your Future Lennar is seeking a Machine Learning Engineer ...

Lead Machine Learning Engineer - REMOTE

Atlanta, GA · Remote

$98K - $129K/yr

... Associates throughout their career. Lennar has been recognized as a Fortune 500 company and ... Join a Company that Empowers you to Build your Future Lennar is seeking a Machine Learning Engineer ...

... machine learning teams. * Experience leading organizations of 15+ associates, contractors, and ... Government to determine eligibility and suitability for federal contract employment for public ...

Lead Generative AI Data Engineer III

Atlanta, GA · On-site

$98K - $129K/yr

Lead the design, development, testing, and deployment of machine learning and artificial ... Serving federal, state, and local government clients as well as public higher education ...

EverWatch is a government solutions company providing advanced defense, intelligence, and deployed ... Experience applying data science and machine learning techniques including logistic regression ...

Job Brief Data Science, Machine Learning, Programming Are you VIGILANT about your career? RealmOne ... Bachelor's degree and 10 years' relevant experience OR Associate's degree plus 12 years' experience ...

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Associate Machine Learning Government information

What is the difference between Associate Machine Learning Government vs Data Scientist Government?

AspectAssociate Machine Learning GovernmentData Scientist Government
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in Data Science, Statistics, or related; certifications like CAP or DASCA are common
Work EnvironmentGovernment agencies, research labs, or defense sectors; focus on ML model development and deploymentGovernment agencies, policy analysis, research; focus on data analysis, modeling, and insights
Employer & Industry UsageFederal, state, or local government; defense, intelligence, or public servicesGovernment departments, research institutions, public policy agencies

Associate Machine Learning Government and Data Scientist Government roles often overlap in credentials and work environment, but the former emphasizes ML model development, while the latter focuses on broader data analysis and insights within government sectors.

What are popular job titles related to Associate Machine Learning Government jobs in Georgia? For Associate Machine Learning Government jobs in Georgia, the most frequently searched job titles are:
What cities in Georgia are hiring for Associate Machine Learning Government jobs? Cities in Georgia with the most Associate Machine Learning Government job openings:

AI/Machine Learning Engineer

Metas Solutions

Decatur, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

About Us:

Metas Solutions excels in providing strategic consulting, program management, and data-driven analytics to federal public health agencies. Our expertise enhances health systems and delivers measurable outcomes, helping agencies achieve their mission. We collaborate with federal partners to implement agile solutions for national public health initiatives, driving impactful changes through cutting-edge programs that strengthen communities and promote well-being. See www.metassolutions.com for further details about us and careers with Metas.

Job Description:

Metas Solutions has an "opening" for a talented AI/Machine Learning Engineer. True innovation happens where machine learning meets cloud technology and real-world impact. As an AI/ML Engineer, you'll join a collaborative team of technologists, data scientists, and stakeholders to tackle meaningful challenges using ML, Generative AI, and modern tools.

You'll contribute to building and scaling intelligent systems-from core ML models to chatbot and Retrieval-Augmented Generation (RAG) applications. With strong skills in Python, SQL, and cloud platforms like Azure, you'll help deliver practical, forward-looking solutions in dynamic environments.

Bring your technical expertise, curiosity, and customer-first mindset to help shape the future of intelligent systems across industries.

Responsibilities:

  • Design, develop, and deploy scalable machine learning models and AI-driven solutions to address complex business and operational challenges.
  • Build and enhance Generative AI, LLM, and Retrieval-Augmented Generation (RAG) applications, including chatbot and conversational AI capabilities.
  • Develop and optimize data pipelines, feature engineering workflows, and large-scale data processing solutions using Python, SQL and Spark.
  • Implement and support MLOps practices, including model training, deployment, monitoring, and lifecycle management using tools such as MLflow and Azure cloud services.
  • Collaborate with cross-functional teams and stakeholders to deliver customer-focused AI/ML solutions while staying current on emerging technologies and industry best practices.

Qualifications:

  • 3+ years of experience designing, developing, and deploying machine learning models
  • 3+ years of experience with Generative AI, LLMs, or RAG applications
  • 4+ years of hands-on experience with Python for ML and data engineering
  • Experience with SQL for data manipulation and feature engineering
  • Experience with big data tools such as Apache Spark
  • Experience with Databricks and MLOps tools like MLflow
  • Experience with cloud, preferably in Azure
  • Ability to exhibit strong communication and customer-facing skills
  • Ability to thrive both independently and in cross-functional teams
  • Ability to solve problems and stay current with emerging ML trends

Additional Qualifications:

  • Experience with full-stack development or deploying end-to-end ML applications
  • Experience with chatbot development or conversational AI
  • Experience fine-tuning large models
  • Experience with deploying ML solutions using MLOps pipelines
  • Knowledge of Agile workflows and tools like JIRA

Security Requirements:

  • Must be US Citizen and with the ability to obtain a US Government security clearance (Public Trust 5) within a reasonable period
  • Market competitive salary, commensurate with experience and education
  • Comprehensive benefits package available, Medical, Dental, Vision and Life Insurance, Paid Time Off (PTO), 401K with company match, growth, and promotion opportunities

We are an Equal Opportunity Employer/Veterans/Disabled